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Clémence Réda

Marie Skłodowska-Curie Postdoctoral Fellow at Universität Rostock since 2023/05

I am mainly interested in bioinformatics, in all kinds of machine learning, and how to apply tractable and understandable methods to extract higher-order, causal, information from biological data.

My research journey led me to consider several aspects of drug development and repurposing, and got me acclimated to working in an interdisciplinary environment. Here are three of my proudest works:

Interpretable Recommendations

Enforcing an explicit connection between features and classification scores allows us to enhance our understanding of underlying mechanisms, for instance in drug repurposing

Prioritization of Master Regulators

I have designed an approach which incorporates regulatory cascades and disease-specific transcriptomic information to detect master regulators, which can be targeted to treat a disease

Bandits for Drug Repurposing

Drug repurposing can be seen as a Top-m identification problem in bandits. One challenge is to exploit side information about the drugs to decrease the number of tests

For more information, feel free to check out my RESEARCH WORKS or my list of PROJECTS.